{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "_xnMOsbqHz61"
   },
   "source": [
    "# Pix2Pix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ITZuApL56Mny"
   },
   "source": [
    "This notebook demonstrates image to image translation using conditional GAN's, as described in [Image-to-Image Translation with Conditional Adversarial Networks](https://arxiv.org/abs/1611.07004). Using this technique we can colorize black and white photos, convert google maps to google earth, etc. Here, we convert building facades to real buildings.\n",
    "\n",
    "In example, we will use the [CMP Facade Database](http://cmp.felk.cvut.cz/~tylecr1/facade/), helpfully provided by the [Center for Machine Perception](http://cmp.felk.cvut.cz/) at the [Czech Technical University in Prague](https://www.cvut.cz/). To keep our example short, we will use a preprocessed [copy](https://people.eecs.berkeley.edu/~tinghuiz/projects/pix2pix/datasets/) of this dataset, created by the authors of the [paper](https://arxiv.org/abs/1611.07004) above.\n",
    "\n",
    "Each epoch takes around 58 seconds on a single P100 GPU.\n",
    "\n",
    "Below is the output generated after training the model for 200 epochs.\n",
    "\n",
    "![sample output_1](https://www.tensorflow.org/images/gan/pix2pix_1.png)\n",
    "![sample output_2](https://www.tensorflow.org/images/gan/pix2pix_2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "e1_Y75QXJS6h"
   },
   "source": [
    "## Import TensorFlow and other libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "YfIk2es3hJEd"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import time\n",
    "import tensorflow as tf\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import clear_output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "iYn4MdZnKCey"
   },
   "source": [
    "## Load the dataset\n",
    "\n",
    "You can download this dataset and similar datasets from [here](https://people.eecs.berkeley.edu/~tinghuiz/projects/pix2pix/datasets). As mentioned in the [paper](https://arxiv.org/abs/1611.07004) we apply random jittering and mirroring to the training dataset.\n",
    "* In random jittering, the image is resized to `286 x 286` and then randomly cropped to `256 x 256`\n",
    "* In random mirroring, the image is randomly flipped horizontally i.e left to right."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "height": 68
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1015,
     "status": "ok",
     "timestamp": 1551645014131
    },
    "id": "Kn-k8kTXuAlv",
    "outputId": "cd1649cb-4f17-4857-a137-e7b1a5e1d002"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/yangyun/.keras/datasets/facades/\n"
     ]
    }
   ],
   "source": [
    "_URL = 'https://people.eecs.berkeley.edu/~tinghuiz/projects/pix2pix/datasets/facades.tar.gz'\n",
    "\n",
    "path_to_zip = tf.keras.utils.get_file('facades.tar.gz',\n",
    "                                      origin=_URL, \n",
    "                                      extract=True)\n",
    "\n",
    "PATH = os.path.join(os.path.dirname(path_to_zip), 'facades/')\n",
    "print(PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "2CbTEt448b4R"
   },
   "outputs": [],
   "source": [
    "BUFFER_SIZE = 400\n",
    "BATCH_SIZE = 1\n",
    "IMG_WIDTH = 256\n",
    "IMG_HEIGHT = 256\n",
    "OUTPUT_CHANNELS = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "aO9ZAGH5K3SY"
   },
   "outputs": [],
   "source": [
    "def load(image_file):\n",
    "    \n",
    "    image = tf.io.read_file(image_file)\n",
    "    image = tf.image.decode_jpeg(image)\n",
    "    \n",
    "    w = tf.shape(image)[1]\n",
    "    w = w // 2\n",
    "    real_image = image[:, :w, :]\n",
    "    input_image = image[:, w:, :]\n",
    "    \n",
    "    input_image = tf.cast(input_image, tf.float32)\n",
    "    real_image = tf.cast(real_image, tf.float32)\n",
    "    \n",
    "    return input_image, real_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "height": 558
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3959,
     "status": "ok",
     "timestamp": 1551645018835
    },
    "id": "4OLHMpsQ5aOv",
    "outputId": "5bfde74b-a0dd-42fa-8e9c-4f6eb42215ed"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x132d43ba8>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "inp, re = load(PATH+'train/100.jpg')\n",
    "# casting to int for matplotlib to show the image\n",
    "plt.figure()\n",
    "plt.imshow(inp/255.0)\n",
    "plt.figure()\n",
    "plt.imshow(re/255.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "rwwYQpu9FzDu"
   },
   "outputs": [],
   "source": [
    "def resize(input_image, real_image, height, width):\n",
    "    \n",
    "    input_image = tf.image.resize(input_image, [height, width], \n",
    "                                  method=tf.image.ResizeMethod.NEAREST_NEIGHBOR)\n",
    "    real_image = tf.image.resize(real_image, [height, width], \n",
    "                                  method=tf.image.ResizeMethod.NEAREST_NEIGHBOR)\n",
    "    \n",
    "    return input_image, real_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Yn3IwqhiIszt"
   },
   "outputs": [],
   "source": [
    "def random_crop(input_image, real_image):\n",
    "    \n",
    "    stacked_image = tf.stack([input_image, real_image], axis=0)\n",
    "    cropped_image = tf.image.random_crop( stacked_image, size=[2, IMG_HEIGHT, IMG_WIDTH, 3])\n",
    "    \n",
    "    return cropped_image[0], cropped_image[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "muhR2cgbLKWW"
   },
   "outputs": [],
   "source": [
    "# normalizing the images to [-1, 1]\n",
    "def normalize(input_image, real_image):\n",
    "    \n",
    "    input_image = (input_image / 127.5) - 1\n",
    "    real_image  = (real_image   / 127.5) - 1\n",
    "    \n",
    "    return input_image, real_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "fVQOjcPVLrUc"
   },
   "outputs": [],
   "source": [
    "@tf.function()\n",
    "def random_jitter(input_image, real_image):\n",
    "  # resizing to 286 x 286 x 3\n",
    "  input_image, real_image = resize(input_image, real_image, 286, 286)\n",
    "\n",
    "  # randomly cropping to 256 x 256 x 3\n",
    "  input_image, real_image = random_crop(input_image, real_image)\n",
    "\n",
    "  if tf.random.uniform(()) > 0.5:\n",
    "    # random mirroring\n",
    "    input_image = tf.image.flip_left_right(input_image)\n",
    "    real_image = tf.image.flip_left_right(real_image)\n",
    "    \n",
    "  return input_image, real_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "height": 390
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1222,
     "status": "ok",
     "timestamp": 1551645021485
    },
    "id": "n0OGdi6D92kM",
    "outputId": "00242d5c-9efe-498d-fab0-68f47161b074"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# As you can see in the images below\n",
    "# that they are going through random jittering\n",
    "# Random jittering as described in the paper is to\n",
    "# 1. Resize an image to bigger height and width\n",
    "# 2. Randomnly crop to the original size\n",
    "# 3. Randomnly flip the image horizontally \n",
    "\n",
    "plt.figure(figsize=(6, 6))\n",
    "for i in range(4):\n",
    "  rj_inp, rj_re = random_jitter(inp, re)  \n",
    "  plt.subplot(2, 2, i+1)\n",
    "  plt.imshow(rj_inp/255.0)\n",
    "  plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tyaP4hLJ8b4W"
   },
   "outputs": [],
   "source": [
    "def load_image_train(image_file):\n",
    "  input_image, real_image = load(image_file)\n",
    "  input_image, real_image = random_jitter(input_image, real_image)\n",
    "  input_image, real_image = normalize(input_image, real_image)\n",
    "\n",
    "  return input_image, real_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "VB3Z6D_zKSru"
   },
   "outputs": [],
   "source": [
    "def load_image_test(image_file):\n",
    "  input_image, real_image = load(image_file)\n",
    "  input_image, real_image = resize(input_image, real_image, \n",
    "                                   IMG_HEIGHT, IMG_WIDTH) \n",
    "  input_image, real_image = normalize(input_image, real_image)\n",
    " \n",
    "  return input_image, real_image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "PIGN6ouoQxt3"
   },
   "source": [
    "## Input Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "SQHmYSmk8b4b"
   },
   "outputs": [],
   "source": [
    "train_dataset = tf.data.Dataset.list_files(PATH+'train/*.jpg')\n",
    "train_dataset = train_dataset.shuffle(BUFFER_SIZE)\n",
    "train_dataset = train_dataset.map(load_image_train, \n",
    "                                  num_parallel_calls=tf.data.experimental.AUTOTUNE)\n",
    "train_dataset = train_dataset.batch(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "MS9J0yA58b4g"
   },
   "outputs": [],
   "source": [
    "test_dataset = tf.data.Dataset.list_files(PATH+'test/*.jpg')\n",
    "# shuffling so that for every epoch a different image is generated \n",
    "# to predict and display the progress of our model.\n",
    "train_dataset = train_dataset.shuffle(BUFFER_SIZE)\n",
    "test_dataset = test_dataset.map(load_image_test)\n",
    "test_dataset = test_dataset.batch(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "THY-sZMiQ4UV"
   },
   "source": [
    "## Build the Generator\n",
    "  * The architecture of generator is a modified U-Net.\n",
    "  * Each block in the encoder is (Conv -> Batchnorm -> Leaky ReLU)\n",
    "  * Each block in the decoder is (Transposed Conv -> Batchnorm -> Dropout(applied to the first 3 blocks) -> ReLU)\n",
    "  * There are skip connections between the encoder and decoder (as in U-Net).\n",
    " \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tqqvWxlw8b4l"
   },
   "outputs": [],
   "source": [
    "OUTPUT_CHANNELS = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "3R09ATE_SH9P"
   },
   "outputs": [],
   "source": [
    "def downsample(filters, size, apply_batchnorm=True):\n",
    "  initializer = tf.random_normal_initializer(0., 0.02)\n",
    "\n",
    "  result = tf.keras.Sequential()\n",
    "  result.add(\n",
    "      tf.keras.layers.Conv2D(filters, size, strides=2, padding='same',\n",
    "                             kernel_initializer=initializer, use_bias=False))\n",
    "\n",
    "  if apply_batchnorm:\n",
    "    result.add(tf.keras.layers.BatchNormalization())\n",
    "    \n",
    "  result.add(tf.keras.layers.LeakyReLU())\n",
    "\n",
    "  return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "height": 34
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 280,
     "status": "ok",
     "timestamp": 1551645024368
    },
    "id": "a6_uCZCppTh7",
    "outputId": "8f29e95e-f598-46fc-ecc1-f978d9820ee4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 128, 128, 3)\n"
     ]
    }
   ],
   "source": [
    "down_model = downsample(3, 4)\n",
    "down_result = down_model(tf.expand_dims(inp, 0))\n",
    "print (down_result.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "nhgDsHClSQzP"
   },
   "outputs": [],
   "source": [
    "def upsample(filters, size, apply_dropout=False):\n",
    "  initializer = tf.random_normal_initializer(0., 0.02)\n",
    "\n",
    "  result = tf.keras.Sequential()\n",
    "  result.add(\n",
    "    tf.keras.layers.Conv2DTranspose(filters, size, strides=2,\n",
    "                                    padding='same', \n",
    "                                    kernel_initializer=initializer,\n",
    "                                    use_bias=False))\n",
    "\n",
    "  result.add(tf.keras.layers.BatchNormalization())\n",
    "  \n",
    "  if apply_dropout:\n",
    "      result.add(tf.keras.layers.Dropout(0.5))\n",
    "\n",
    "  result.add(tf.keras.layers.ReLU())\n",
    "\n",
    "  return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "lFPI4Nu-8b4q"
   },
   "outputs": [],
   "source": [
    "def Generator():\n",
    "  down_stack = [\n",
    "    downsample(64, 4, apply_batchnorm=False), # (bs, 128, 128, 64)\n",
    "    downsample(128, 4), # (bs, 64, 64, 128)\n",
    "    downsample(256, 4), # (bs, 32, 32, 256)\n",
    "    downsample(512, 4), # (bs, 16, 16, 512)\n",
    "    downsample(512, 4), # (bs, 8, 8, 512)\n",
    "    downsample(512, 4), # (bs, 4, 4, 512)\n",
    "    downsample(512, 4), # (bs, 2, 2, 512)\n",
    "    downsample(512, 4), # (bs, 1, 1, 512)\n",
    "  ]\n",
    "\n",
    "  up_stack = [\n",
    "    upsample(512, 4, apply_dropout=True), # (bs, 2, 2, 1024)\n",
    "    upsample(512, 4, apply_dropout=True), # (bs, 4, 4, 1024)\n",
    "    upsample(512, 4, apply_dropout=True), # (bs, 8, 8, 1024)\n",
    "    upsample(512, 4), # (bs, 16, 16, 1024)\n",
    "    upsample(256, 4), # (bs, 32, 32, 512)\n",
    "    upsample(128, 4), # (bs, 64, 64, 256)\n",
    "    upsample(64, 4), # (bs, 128, 128, 128)\n",
    "  ]\n",
    "\n",
    "  initializer = tf.random_normal_initializer(0., 0.02)\n",
    "  last = tf.keras.layers.Conv2DTranspose(OUTPUT_CHANNELS, 4, \n",
    "                                         strides=2, \n",
    "                                         padding='same',\n",
    "                                         kernel_initializer=initializer,\n",
    "                                         activation='tanh') # (bs, 256, 256, 3)\n",
    "\n",
    "  concat = tf.keras.layers.Concatenate() \n",
    "\n",
    "  inputs = tf.keras.layers.Input(shape=[None,None,3])\n",
    "  x = inputs\n",
    "  \n",
    "  # Downsampling through the model\n",
    "  skips = []\n",
    "  for down in down_stack:\n",
    "    x = down(x)\n",
    "    skips.append(x)\n",
    "\n",
    "  skips = reversed(skips[:-1])\n",
    "\n",
    "  # Upsampling and establishing the skip connections\n",
    "  for up, skip in zip(up_stack, skips):\n",
    "    x = up(x)\n",
    "    x = concat([x, skip])\n",
    "\n",
    "  x = last(x)\n",
    "\n",
    "  return tf.keras.Model(inputs=inputs, outputs=x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "height": 296
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1562,
     "status": "ok",
     "timestamp": 1551645027026
    },
    "id": "U1N1_obwtdQH",
    "outputId": "67deedd8-6493-4b7e-e721-7b34290361db"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Logging before flag parsing goes to stderr.\n",
      "W0309 14:21:31.186249 4321252224 image.py:656] Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x137169550>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "generator = Generator()\n",
    "\n",
    "gen_output = generator(inp[tf.newaxis,...], training=False)\n",
    "plt.imshow(gen_output[0,...])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ZTKZfoaoEF22"
   },
   "source": [
    "## Build the Discriminator\n",
    "  * The Discriminator is a PatchGAN.\n",
    "  * Each block in the discriminator is (Conv -> BatchNorm -> Leaky ReLU)\n",
    "  * The shape of the output after the last layer is (batch_size, 30, 30, 1)\n",
    "  * Each 30x30 patch of the output classifies a 70x70 portion of the input image (such an architecture is called a PatchGAN).\n",
    "  * Discriminator receives 2 inputs.\n",
    "    * Input image and the target image, which it should classify as real.\n",
    "    * Input image and the generated image (output of generator), which it should classify as fake. \n",
    "    * We concatenate these 2 inputs together in the code (`tf.concat([inp, tar], axis=-1)`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "ll6aNeQx8b4v"
   },
   "outputs": [],
   "source": [
    "def Discriminator():\n",
    "  initializer = tf.random_normal_initializer(0., 0.02)\n",
    "\n",
    "  inp = tf.keras.layers.Input(shape=[None, None, 3], name='input_image')\n",
    "  tar = tf.keras.layers.Input(shape=[None, None, 3], name='target_image')\n",
    "  \n",
    "  x = tf.keras.layers.concatenate([inp, tar]) # (bs, 256, 256, channels*2)\n",
    "  \n",
    "  down1 = downsample(64, 4, False)(x) # (bs, 128, 128, 64)\n",
    "  down2 = downsample(128, 4)(down1) # (bs, 64, 64, 128)\n",
    "  down3 = downsample(256, 4)(down2) # (bs, 32, 32, 256)\n",
    "\n",
    "  zero_pad1 = tf.keras.layers.ZeroPadding2D()(down3) # (bs, 34, 34, 256)\n",
    "  conv = tf.keras.layers.Conv2D(512, 4, strides=1, \n",
    "                                kernel_initializer=initializer, \n",
    "                                use_bias=False)(zero_pad1) # (bs, 31, 31, 512)\n",
    "  \n",
    "  batchnorm1 = tf.keras.layers.BatchNormalization()(conv) \n",
    "\n",
    "  leaky_relu = tf.keras.layers.LeakyReLU()(batchnorm1)\n",
    "  \n",
    "  zero_pad2 = tf.keras.layers.ZeroPadding2D()(leaky_relu) # (bs, 33, 33, 512)\n",
    "  \n",
    "  last = tf.keras.layers.Conv2D(1, 4, strides=1,\n",
    "                                kernel_initializer=initializer)(zero_pad2) # (bs, 30, 30, 1)\n",
    "  \n",
    "  return tf.keras.Model(inputs=[inp, tar], outputs=last)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "height": 296
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 720,
     "status": "ok",
     "timestamp": 1551645028164
    },
    "id": "gDkA05NE6QMs",
    "outputId": "cdeef0a1-a913-4c40-be6d-7a30f35e03cd"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x13778d908>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "discriminator = Discriminator()\n",
    "disc_out = discriminator([inp[tf.newaxis,...], gen_output], training=False)\n",
    "plt.imshow(disc_out[0,...,-1], vmin=-20, vmax=20, cmap='RdBu_r')\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "-ede4p2YELFa"
   },
   "source": [
    "To learn more about the architecture and the hyperparameters you can refer the [paper](https://arxiv.org/abs/1611.07004)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "0FMYgY_mPfTi"
   },
   "source": [
    "## Define the loss functions and the optimizer\n",
    "\n",
    "* **Discriminator loss**\n",
    "  * The discriminator loss function takes 2 inputs; **real images, generated images**\n",
    "  * real_loss is a sigmoid cross entropy loss of the **real images** and an **array of ones(since these are the real images)**\n",
    "  * generated_loss is a sigmoid cross entropy loss of the **generated images** and an **array of zeros(since these are the fake images)**\n",
    "  * Then the total_loss is the sum of real_loss and the generated_loss\n",
    "  \n",
    "* **Generator loss**\n",
    "  * It is a sigmoid cross entropy loss of the generated images and an **array of ones**.\n",
    "  * The [paper](https://arxiv.org/abs/1611.07004) also includes L1 loss which is MAE (mean absolute error) between the generated image and the target image.\n",
    "  * This allows the generated image to become structurally similar to the target image.\n",
    "  * The formula to calculate the total generator loss = gan_loss + LAMBDA * l1_loss, where LAMBDA = 100. This value was decided by the authors of the [paper](https://arxiv.org/abs/1611.07004)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "cyhxTuvJyIHV"
   },
   "outputs": [],
   "source": [
    "LAMBDA = 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Q1Xbz5OaLj5C"
   },
   "outputs": [],
   "source": [
    "loss_object = tf.keras.losses.BinaryCrossentropy(from_logits=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "wkMNfBWlT-PV"
   },
   "outputs": [],
   "source": [
    "def discriminator_loss(disc_real_output, disc_generated_output):\n",
    "  real_loss = loss_object(tf.ones_like(disc_real_output), disc_real_output)\n",
    "  \n",
    "  generated_loss = loss_object(tf.zeros_like(disc_generated_output), disc_generated_output)\n",
    "\n",
    "  total_disc_loss = real_loss + generated_loss\n",
    "\n",
    "  return total_disc_loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "90BIcCKcDMxz"
   },
   "outputs": [],
   "source": [
    "def generator_loss(disc_generated_output, gen_output, target):\n",
    "  gan_loss = loss_object(tf.ones_like(disc_generated_output), disc_generated_output)\n",
    "  \n",
    "  # mean absolute error\n",
    "  l1_loss = tf.reduce_mean(tf.abs(target - gen_output))\n",
    "\n",
    "  total_gen_loss = gan_loss + (LAMBDA * l1_loss)\n",
    "\n",
    "  return total_gen_loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "iWCn_PVdEJZ7"
   },
   "outputs": [],
   "source": [
    "generator_optimizer = tf.keras.optimizers.Adam(2e-4, beta_1=0.5)\n",
    "discriminator_optimizer = tf.keras.optimizers.Adam(2e-4, beta_1=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "aKUZnDiqQrAh"
   },
   "source": [
    "## Checkpoints (Object-based saving)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "WJnftd5sQsv6"
   },
   "outputs": [],
   "source": [
    "checkpoint_dir = './training_checkpoints'\n",
    "checkpoint_prefix = os.path.join(checkpoint_dir, \"ckpt\")\n",
    "checkpoint = tf.train.Checkpoint(generator_optimizer=generator_optimizer,\n",
    "                                 discriminator_optimizer=discriminator_optimizer,\n",
    "                                 generator=generator,\n",
    "                                 discriminator=discriminator)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Rw1fkAczTQYh"
   },
   "source": [
    "## Training\n",
    "\n",
    "* We start by iterating over the dataset\n",
    "* The generator gets the input image and we get a generated output.\n",
    "* The discriminator receives the input_image and the generated image as the first input. The second input is the input_image and the target_image.\n",
    "* Next, we calculate the generator and the discriminator loss.\n",
    "* Then, we calculate the gradients of loss with respect to both the generator and the discriminator variables(inputs) and apply those to the optimizer.\n",
    "* This entire procedure is shown in the images below.\n",
    "\n",
    "![Discriminator Update Image](images/dis.png)\n",
    "\n",
    "\n",
    "---\n",
    "\n",
    "\n",
    "![Generator Update Image](images/gen.png)\n",
    "\n",
    "## Generate Images\n",
    "\n",
    "* After training, its time to generate some images!\n",
    "* We pass images from the test dataset to the generator.\n",
    "* The generator will then translate the input image into the output we expect.\n",
    "* Last step is to plot the predictions and **voila!**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "NS2GWywBbAWo"
   },
   "outputs": [],
   "source": [
    "EPOCHS = 200"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "RmdVsmvhPxyy"
   },
   "outputs": [],
   "source": [
    "def generate_images(model, test_input, tar):\n",
    "  # the training=True is intentional here since\n",
    "  # we want the batch statistics while running the model\n",
    "  # on the test dataset. If we use training=False, we will get \n",
    "  # the accumulated statistics learned from the training dataset\n",
    "  # (which we don't want)\n",
    "  prediction = model(test_input, training=True)\n",
    "  plt.figure(figsize=(15,15))\n",
    "\n",
    "  display_list = [test_input[0], tar[0], prediction[0]]\n",
    "  title = ['Input Image', 'Ground Truth', 'Predicted Image']\n",
    "\n",
    "  for i in range(3):\n",
    "    plt.subplot(1, 3, i+1)\n",
    "    plt.title(title[i])\n",
    "    # getting the pixel values between [0, 1] to plot it.\n",
    "    plt.imshow(display_list[i] * 0.5 + 0.5)\n",
    "    plt.axis('off')\n",
    "  plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "KBKUV2sKXDbY"
   },
   "outputs": [],
   "source": [
    "@tf.function\n",
    "def train_step(input_image, target):\n",
    "  with tf.GradientTape() as gen_tape, tf.GradientTape() as disc_tape:\n",
    "    gen_output = generator(input_image, training=True)\n",
    "\n",
    "    disc_real_output = discriminator([input_image, target], training=True)\n",
    "    disc_generated_output = discriminator([input_image, gen_output], training=True)\n",
    "\n",
    "    gen_loss = generator_loss(disc_generated_output, gen_output, target)\n",
    "    disc_loss = discriminator_loss(disc_real_output, disc_generated_output)\n",
    "\n",
    "  generator_gradients = gen_tape.gradient(gen_loss, \n",
    "                                          generator.trainable_variables)\n",
    "  discriminator_gradients = disc_tape.gradient(disc_loss, \n",
    "                                               discriminator.trainable_variables)\n",
    "\n",
    "  generator_optimizer.apply_gradients(zip(generator_gradients, \n",
    "                                          generator.trainable_variables))\n",
    "  discriminator_optimizer.apply_gradients(zip(discriminator_gradients, \n",
    "                                              discriminator.trainable_variables))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "2M7LmLtGEMQJ"
   },
   "outputs": [],
   "source": [
    "def train(dataset, epochs):  \n",
    "  for epoch in range(epochs):\n",
    "    start = time.time()\n",
    "\n",
    "    for input_image, target in dataset:\n",
    "      train_step(input_image, target)\n",
    "      \n",
    "    clear_output(wait=True)\n",
    "    for inp, tar in test_dataset.take(1):\n",
    "      generate_images(generator, inp, tar)\n",
    "          \n",
    "    # saving (checkpoint) the model every 20 epochs\n",
    "    if (epoch + 1) % 20 == 0:\n",
    "      checkpoint.save(file_prefix = checkpoint_prefix)\n",
    "\n",
    "    print ('Time taken for epoch {} is {} sec\\n'.format(epoch + 1,\n",
    "                                                        time.time()-start))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "height": 346
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1909,
     "status": "ok",
     "timestamp": 1551658750610
    },
    "id": "a1zZmKmvOH85",
    "outputId": "adf5f083-4543-4326-abec-fe28f9b91b09"
   },
   "outputs": [],
   "source": [
    "train(train_dataset, EPOCHS)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "kz80bY3aQ1VZ"
   },
   "source": [
    "## Restore the latest checkpoint and test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "HSSm4kfvJiqv"
   },
   "outputs": [],
   "source": [
    "!ls {checkpoint_dir}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "4t4x69adQ5xb"
   },
   "outputs": [],
   "source": [
    "# restoring the latest checkpoint in checkpoint_dir\n",
    "checkpoint.restore(tf.train.latest_checkpoint(checkpoint_dir))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "1RGysMU_BZhx"
   },
   "source": [
    "## Testing on the entire test dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "KUgSnmy2nqSP"
   },
   "outputs": [],
   "source": [
    "# Run the trained model on the entire test dataset\n",
    "for inp, tar in test_dataset:\n",
    "  generate_images(generator, inp, tar)"
   ]
  }
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